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Llama-3.2-1B-FourSquare-TKY-POI – AI Model by w11wo | AlphaNeural AI
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Llama-3.2-1B-FourSquare-TKY-POI
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peft
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meta-llama/Llama-3.2-1B
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Llama-3.2-1B-FourSquare-TKY-POI
This model is a fine-tuned version of
meta-llama/Llama-3.2-1B
on an unknown dataset.
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 0.0002
train_batch_size: 2
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 2
total_train_batch_size: 4
total_eval_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 20
num_epochs: 3
Training results
Framework versions
PEFT 0.12.0
Transformers 4.44.2
Pytorch 2.4.0+cu121
Datasets 2.21.0
Tokenizers 0.19.1
